TABLE 2.
The number of Kenyan MSM HIV-1 clusters by cluster size and geographic region.
| Dyads (2 sequences) | Networks (3–14) | Large clusters (≥14) | Total clusters | |
| Subtype | ||||
| A1 | 12 (66.7%) | 19 (76.0%) | 3 (100%) | 34 (73.9%) |
| C | 2 (11.1%) | 2 (8.0%) | 0 (0.0%) | 4 (8.7%) |
| D | 4 (22.2%) | 4 (16.0%) | 0 (0.0%) | 8 (17.4%) |
| Geographic region | ||||
| Coast | 6 (24.0%) | 8 (44.4%) | 0 (0.0%) | 14 (30.4%) |
| Coast/Nairobi | 11 (44.0%) | 2 (11.1%) | 0 (0.0%) | 13 (28.3%) |
| Nairobi | 2 (8.0%) | 4 (22.2%) | 0 (0.0%) | 6 (13.0%) |
| Nyanza/Nairobi/Coast | 2 (8.0%) | 0 (0.0%) | 3 (100%) | 5 (10.9%) |
| Nyanza | 0 (0.0%) | 3 (16.67%) | 0 (0.0%) | 3 (6.5%) |
| Nyanza/Nairobi | 3 (12.0%) | 0 (0.0%) | 0 (0.0%) | 3 (6.5%) |
| Nyanza/Coast | 1 (4.0%) | 1 (5.56%) | 0 (0.0%) | 2 (4.4%) |
| Total | 25 (54.4%) | 18 (39.1%) | 3 (6.5%) | 46 (100%) |
MSM, men who have sex with men. Clusters were classified based on the number of sequences per cluster into dyads (2 sequences), networks (3–14 sequences), and large clusters (>14 sequences).